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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Drug Discovery: Overview01:26

Drug Discovery: Overview

Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

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Updated: May 23, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
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Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Third-generation sequencing techniques and applications to drug discovery.

Fatih Ozsolak1

  • 1Helicos BioSciences Corp., Cambridge, MA 02139, USA. fatihozsolak@gmail.com

Expert Opinion on Drug Discovery
|April 4, 2012
PubMed
Summary

Next-generation sequencing technologies are crucial for drug discovery, enabling identification of therapeutic targets and biomarkers. Emerging third-generation sequencing technologies promise faster, more comprehensive, and unbiased nucleic acid analysis for improved drug development.

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Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
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Area of Science:

  • Genomics and Bioinformatics
  • Drug Discovery and Development
  • Molecular Biology

Background:

  • Identifying validated drug targets and biomarkers is essential for efficient clinical trials and drug development.
  • Genetics and pharmacogenetics studies are vital for understanding disease mechanisms and drug responses.
  • Next-generation sequencing (NGS) technologies play an increasingly important role in all phases of drug discovery.

Purpose of the Study:

  • To review first- and second-generation sequencing technologies (SGSTs) and their impact on biomedicine.
  • To focus on emerging third-generation sequencing technologies (TGSTs), their underlying principles, and applications in drug discovery.

Main Methods:

  • Review of existing literature on SGSTs and TGSTs.
  • Analysis of the technological foundations and potential applications of TGSTs.
  • Discussion of the challenges and opportunities presented by different sequencing generations in drug discovery.

Main Results:

  • SGSTs have achieved significant scientific and commercial success but have not fully met the goals of rapid, comprehensive, and unbiased nucleic acid sequencing.
  • TGSTs offer the potential for increased throughput, longer read lengths, reduced costs, and faster run times.
  • TGSTs aim to eliminate biases inherent in SGSTs and introduce novel capabilities beyond nucleic acid sequencing.

Conclusions:

  • TGSTs are poised to revolutionize drug discovery by overcoming limitations of previous technologies.
  • Advancements in sequencing technologies will positively impact all applications within drug discovery, from target identification to biomarker development.
  • The adoption of TGSTs promises to accelerate the drug development process, reduce costs, and improve the success rate of clinical trials.